The Evolution of AI Models with Naveen Rao of MosaicML

[@ARKInvest2015]

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[@dubbahco]

00:00:00 - 4th Year Innovation Podcast 00:00:57 - In the Elevator With Mosaic ML's Founder 00:03:19 - Mosaic: The Right Tools to Build Intelligence 00:05:54 - AI at 2022: The Big Picture 00:07:23 - GPT-3: The Step-Function Improvement 00:08:41 - Training Large-Scale Algorithms in GPT-3 00:13:46 - Will Large Models Replace Smaller Models in AI? 00:18:38 - Will Data Dominate the AI Economy? 00:22:34 - Will AI Disrupt the Economy? 00:30:46 - Performance vs. cost in neural networks 00:33:16 - AI Cost Decline 60% Annually 00:39:18 - Will AI Become More Conscious? 00:41:21 - The Transition From Startup to Large Company 00:45:23 - Will the Startup Boom Be Driven by Data or Talent? 00:46:57 - How to Start a Business with Mosaic 00:48:56 - Forward looking statements in this podcast Autogenerated timestamps

[@deltacharlie6988]

This might be one of the better FYIs to date. Great information and insight.

[@takenserious4554]

I have to wonder if the prominence of major social media platforms is a big contributor to the fact that they think they've exhausted the extent of capturable data on the internet. Is there data that suggests a slowdown of the rate of new information being created on the internet?

[@davidswearingen7571]

If the models can generate content that ends up online, e.g. some travel blog is written by AI, then the next model scrapes that content but doesn't know it's machine-generated, so you have this positive feedback loop of AI-generated content training the next model ad infinitum. What happens to the quality of the models? No one is going to add markup to their content to label it as machine-generated to prevent this.

[@vincentbrandon7236]

sensor data is no joke. people aren't even touching it half the time. streaming stuff has been hard to even pop on a dashboard. online training of ML models..i don't think I've seen it consumer side - maybe some light bayesian stuff for outlier detection in network sniffers or something. Amazon was doing some interesting thing with calibrating their industrial iot stuff. gah. lots of data.

[@bruceognibene6142]

No sound

[@jtjames79]

Me too.

[@vancouverlife1]

Sound is ok via chromecast to tv. Quite interesting talk.

[@jtjames79]

Giggity. This topic is highly relevant to my interests.

[@aeroskiff]

Interesting, thanks. Could you cover Edge AI and how that will impact tech. ie I see a company "Brainchip" has already commercialised a NN chip tech (Akida) that has super low power consumption and learns on chip. Game changing!

[@skydivekrazy76]

Am I the only one that didn't get a sound track?

[@zazafiaa]

A truly brilliant vid 🙏

[@MikeCasey311]

I have sound.

[@Viper99DDD]

First like! Woo Hoo!!!

[@blipblop92]

Staying on trend i see. ChatGPT

[@WalayatFamily]

ARK is dangerous - Destroyed the value of their investors capital whilst collecting their 2% management FEE!

[@MindFieldMusic]

Wrong. They charge 0.75% fee, and ARKK is up 71% since inception. They have created value for long-term investors.

[@donsilverson9927]

Lol learn how to invest

[@languagetrainer664]

ARK Invest forever